Introducing Conversational Labeling: A Smarter Way to Analyze Conversations

Handling conversations in data labeling can get messy—whether it’s customer support dialogues, chatbot interactions, or feedback threads, keeping track of who said what and when can be a real challenge. That’s where Conversational Labeling in Datasaur steps in. Our latest project type makes it simple to label, analyze, and review complex conversational data, so you can focus on deriving insights from every exchange.

What Can You Do?

Conversational Labeling enables you to easily manage multi-turn dialogues, track interactions between different participants, and assign meaningful labels to segments of conversations. Whether you’re performing sentiment analysis, intent detection, or just identifying key topics, this feature helps you maintain clarity in even the most complex threads.

How Conversational Labeling Solves Real Problems

Imagine you're working with a dataset of customer service chat logs. Your goal is to train a model that can detect customer satisfaction based on chat tone. Without the right tools, keeping track of individual turns in the conversation or distinguishing between speakers becomes overwhelming. You might miss key sentiments hidden between lines or lose context as conversations progress. Datasaur’s Conversational Labeling helps you stay on top of these exchanges by providing a structured way to label each message in context—whether it’s from the agent or the customer.

By enabling you to view conversations as they naturally unfold, this feature ensures you capture nuances, like shifts in sentiment or the intent behind a series of questions. It's not just about labeling words—it's about understanding the flow of communication and tagging moments that matter.

How to Get Started with Conversational Labeling

Ready to try it out? Simply head to your Datasaur dashboard, create a new project, and select “Conversational Labeling” from the available project types. Upload your dataset, whether it's chat logs, emails, or any other form of dialogue, and start annotating in minutes. You can define your own labels, and organize your data for better analysis.

To dive deeper, explore our Conversational Labeling documentation, where you’ll find step-by-step guidance.

Conversational data is more than just words—let Datasaur help you unlock the insights within every exchange!